Pub Date : 2024-01-01DOI: 10.1504/ijmr.2024.10057049
Simon Lidberg, A. Ng
{"title":"Reproducible decision support for industrial decision making using a knowledge extraction platform on multi-objective optimization data","authors":"Simon Lidberg, A. Ng","doi":"10.1504/ijmr.2024.10057049","DOIUrl":"https://doi.org/10.1504/ijmr.2024.10057049","url":null,"abstract":"","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"1 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66762492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1504/ijmr.2024.10057606
Barrett Sauter, Jessica Bruch, Viktorija Badasjane, A. Granlund, Mats Ahlskog
{"title":"Approaching digital transformation in the manufacturing industry","authors":"Barrett Sauter, Jessica Bruch, Viktorija Badasjane, A. Granlund, Mats Ahlskog","doi":"10.1504/ijmr.2024.10057606","DOIUrl":"https://doi.org/10.1504/ijmr.2024.10057606","url":null,"abstract":"","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"1 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66762557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1504/ijmr.2024.10058562
Ann-Louise Andersen, C. Rösiö, Filip Skärin
{"title":"Sustainability and Circularity in Reconfigurable Manufacturing","authors":"Ann-Louise Andersen, C. Rösiö, Filip Skärin","doi":"10.1504/ijmr.2024.10058562","DOIUrl":"https://doi.org/10.1504/ijmr.2024.10058562","url":null,"abstract":"","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"1 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66762632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijmr.2023.10052034
Jiaming Feng, Riliang Liu, Xinfeng Liu
{"title":"Cutting force modeling for peripheral milling with a disk cutter considering instantaneously-engaged area","authors":"Jiaming Feng, Riliang Liu, Xinfeng Liu","doi":"10.1504/ijmr.2023.10052034","DOIUrl":"https://doi.org/10.1504/ijmr.2023.10052034","url":null,"abstract":"","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"47 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66762398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijmr.2023.132842
Mazin Fahad Alahmadi, Bhaskaran Gopalakrishnan, Sabin Wagle
The machining of parts has to satisfy the surface finish as it affects functionality and robustness of the parts. Managers often focus on the surface finish requirements, subject to minimisation of cost. The objective of this research is to provide a cost-effective range in surface finish for single pass turning, catering to both managers and designers. The proposed methodology, which is based on geometric programming, would provide a range of cutting condition solutions that satisfy the economic and functional needs of the stakeholders. This can be achieved by switching cost reduction focus from tooling to labour cost. An algorithm has been developed to determine the most suitable values for the variables for the purpose of cost minimisation. A sensitivity analysis model, based on metaheuristic techniques is developed to further provide a set of potential solutions that are practically preferable to the practitioners in design and manufacturing. [Submitted 18 March 2022; Accepted 9 July 2022]
{"title":"Determination of cost-effective range in surface finish for single pass turning","authors":"Mazin Fahad Alahmadi, Bhaskaran Gopalakrishnan, Sabin Wagle","doi":"10.1504/ijmr.2023.132842","DOIUrl":"https://doi.org/10.1504/ijmr.2023.132842","url":null,"abstract":"The machining of parts has to satisfy the surface finish as it affects functionality and robustness of the parts. Managers often focus on the surface finish requirements, subject to minimisation of cost. The objective of this research is to provide a cost-effective range in surface finish for single pass turning, catering to both managers and designers. The proposed methodology, which is based on geometric programming, would provide a range of cutting condition solutions that satisfy the economic and functional needs of the stakeholders. This can be achieved by switching cost reduction focus from tooling to labour cost. An algorithm has been developed to determine the most suitable values for the variables for the purpose of cost minimisation. A sensitivity analysis model, based on metaheuristic techniques is developed to further provide a set of potential solutions that are practically preferable to the practitioners in design and manufacturing. [Submitted 18 March 2022; Accepted 9 July 2022]","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136079314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The present study deals with end milling of aluminium alloy (Al 5083-H112) with carbide tools in dry condition. Process parameters, such as cutting speed, feed rate, depth of cut, and tool parameters such as nose shape and number of flutes are varied to investigate their effect on material removal rate (MRR), resultant cutting force (CF) and surface roughness (Ra). Analysis of variance is employed to find the significance of the individual process parameters on the responses. The concept of desirability function analysis is employed to optimise the process parameters for machining. The composite desirability value determines the optimum combination of parameters obtained from all the responses' simultaneous optimisation. A confirmation test is conducted based on the optimal parameter setting to exemplify the potency of the approach. The confirmation test results are convincingly close to the predicted ones as the errors are less than 5%, which signifies the robustness of the model. [Submitted 9 August 2021; Accepted 14 December 2021]
{"title":"Experimental investigation and multi-response optimisation of end milling in aluminium-5083 alloy using desirability analysis","authors":"Abhiman Debnath, Siddhartha Kar, Uttam Kumar Mandal, Vidyut Dey","doi":"10.1504/ijmr.2023.132834","DOIUrl":"https://doi.org/10.1504/ijmr.2023.132834","url":null,"abstract":"The present study deals with end milling of aluminium alloy (Al 5083-H112) with carbide tools in dry condition. Process parameters, such as cutting speed, feed rate, depth of cut, and tool parameters such as nose shape and number of flutes are varied to investigate their effect on material removal rate (MRR), resultant cutting force (CF) and surface roughness (Ra). Analysis of variance is employed to find the significance of the individual process parameters on the responses. The concept of desirability function analysis is employed to optimise the process parameters for machining. The composite desirability value determines the optimum combination of parameters obtained from all the responses' simultaneous optimisation. A confirmation test is conducted based on the optimal parameter setting to exemplify the potency of the approach. The confirmation test results are convincingly close to the predicted ones as the errors are less than 5%, which signifies the robustness of the model. [Submitted 9 August 2021; Accepted 14 December 2021]","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136079152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijmr.2024.10058316
P. Almström, Katrin Skagert, S. Mattsson, Martin Kurdve
: The aim of this paper is to propose a framework for universal design of manual assembly workplaces. Workplaces that are adapted to different individuals, regardless of gender, language, background and functional variations, also support the fundamental goals of the Industry 5.0 concept and an accessible, safer, productive and error-proof work environment. The study included: 1) a qualitative study on key factors for universal design and comparison with universal design theory; 2) improvement suggestions to the company based on observations, interviews and theory; 3) a framework for universal design. The framework included the following areas: personalisation and context, activities/tasks and output, and methods/standards and factors were suggested so that companies could start their analysis work for the design. The study resulted in new insights and empirics regarding universal workplace design.
{"title":"Framework for universal design of digital support and workplace design in industry","authors":"P. Almström, Katrin Skagert, S. Mattsson, Martin Kurdve","doi":"10.1504/ijmr.2024.10058316","DOIUrl":"https://doi.org/10.1504/ijmr.2024.10058316","url":null,"abstract":": The aim of this paper is to propose a framework for universal design of manual assembly workplaces. Workplaces that are adapted to different individuals, regardless of gender, language, background and functional variations, also support the fundamental goals of the Industry 5.0 concept and an accessible, safer, productive and error-proof work environment. The study included: 1) a qualitative study on key factors for universal design and comparison with universal design theory; 2) improvement suggestions to the company based on observations, interviews and theory; 3) a framework for universal design. The framework included the following areas: personalisation and context, activities/tasks and output, and methods/standards and factors were suggested so that companies could start their analysis work for the design. The study resulted in new insights and empirics regarding universal workplace design.","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"1 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66762619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijmr.2023.10059501
Sheng Yang, Carter Powell
{"title":"Decision Support Tools for Product Customization: An In-Depth Review","authors":"Sheng Yang, Carter Powell","doi":"10.1504/ijmr.2023.10059501","DOIUrl":"https://doi.org/10.1504/ijmr.2023.10059501","url":null,"abstract":"","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135845061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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